Syllabus: GS2/ Governance, GS3/ Science & Technology
Context
- The Kerala High Court became the first in India to publish a set of guidelines on the use of Artificial Intelligence in the district judiciary.
Opportunities of AI in Judicial Processes
- Case Management and Efficiency: AI can help in sorting, tagging, and prioritising cases, reducing administrative burden on court staff.
- The Supreme Court’s AI tool SUPACE (Supreme Court Portal for Assistance in Court’s Efficiency, 2021) assists judges in quickly identifying relevant precedents.
- Translation and Accessibility: India has 22 scheduled languages and hundreds of dialects. AI-powered translation can make judicial documents and judgments accessible across linguistic barriers.
- The SUVAAS (Supreme Court Vidhik Anuvaad Software) project has translated thousands of judgments into regional languages.
- Legal Research and Knowledge Support: AI-driven search tools can help lawyers and judges locate relevant precedents faster, reducing delays.
- Globally, countries like the U.K. and Singapore use AI platforms for legal analytics and predictive insights into case outcomes.
- Transcription and Record-Keeping: Automated transcription of oral arguments and witness depositions improves accuracy and reduces delays in preparing case records.
- Improving Access to Justice: AI chatbots and virtual assistants can help litigants, especially those without legal representation, navigate procedures, track case status, and file petitions.
- DoNotPay, an AI-powered legal assistant in the U.S., demonstrates how litigants can be empowered through technology.
- Support for the eCourts Project: AI aligns with the Vision Document for Phase III of the eCourts Project, which aims to digitise and modernise the Indian judiciary.
Emerging Concerns of AI in Judiciary
- Errors and Hallucinations:
- AI mistranslations and transcription errors risk distorting records.
- Large Language Models (LLMs) have been shown to fabricate case laws and citations.
- Bias and Dependence:
- AI-enabled legal research may show search bias, excluding relevant precedents.
- Over-reliance risks reducing adjudication to rule-based outputs, sidelining nuanced human judgment.
- Data Protection and Privacy: Absence of clear frameworks on storage and use of judicial data raises concerns.
- Infrastructure Gaps: Courts face uneven Internet connectivity, outdated hardware, and limited technical expertise.
Guardrails for Responsible AI Use
- AI Literacy and Capacity Building: Judges, lawyers, and court staff must be trained to use AI effectively and to understand its limitations.
- Judicial academies and bar associations should collaborate with AI governance experts.
- Transparency and Consent: Litigants must be informed if AI tools are used in adjudication.
- A mechanism for litigants to opt-out of AI-assisted processes should be considered.
- Procurement and Evaluation Frameworks: Standardised procurement guidelines should assess AI tools for reliability, explainability, data security, and risk mitigation.
- Pre-procurement studies must ensure that AI is the best solution for a given problem.
- Institutional Mechanisms: Establish technology offices within the judiciary, as envisaged under eCourts Phase III, to oversee AI adoption.
- Specialists should monitor vendor compliance, infrastructure needs, and system performance.
Global Best Practices
- European Union: The EU AI Act (2024) classifies judicial AI as “high-risk”, requiring rigorous oversight, human accountability, and safeguards against bias. This reflects the EU’s broader approach of prioritising rights and ethics over speed of adoption.
- Singapore: Its judiciary follows a strict human-in-the-loop model where AI assists in tasks like research and document review but never replaces judicial reasoning. Singapore also runs judicial innovation labs to test AI tools before adoption.
- China: It has established “smart courts”, where AI assists in case filing, judgment recommendations, and even drafting opinions.
Source: TH
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News In Short 22-August-2025